Taking the Hassle out of HEDIS: 3 Ways Analytics Can Help

Every year from January to May, payers and providers gather and analyze data to report on the quality of their care. The challenges associated with HEDIS® can be significant. Efficiency issues such as manual claims analysis, individual chart chases, and a lack of centralized data sources can consume valuable time and resources. Similarly, documentation errors and fragmented engagement with multiple stakeholders pose hurdles for achieving higher HEDIS scores and clinically coordinated care.

How can you take the hassle out of HEDIS? A seamless end-to-end quality management analytics solution enables you to increase staff productivity and engagement, save time, reduce costs, and increase compliance and scores.

Here are three ways analytics can help you with HEDIS reporting and measurement:

#1: Engage providers with irrefutable data

Providers respond to data. When poorly performing providers need to improve, you can engage them in dialogue around that data.

#2: Identify gaps in care early and all year long

Data analytics enables you to run measures prospectively. Rather than waiting until the end of the year when it’s too late, evaluating and engaging providers throughout the year is key to HEDIS success.

#3: Streamline chart chases

When you have multiple systems that don’t talk to each other, chart chases can require significant time and resources. With the right analytics partner, you can rely on one system to do it all—and reduce temp help and vendor costs by as much as 95%.*

MedeAnalytics Quality Management helps you achieve these important HEDIS objectives by empowering you to:

  • Focus on timely performance assessments and compliance updates throughout the year
  • Monitor the performance of various shared-savings groups and their P4P program performance
  • Track measures and add supplemental data in a centralized way
  • Gain clear oversight of the process through interactive analytics dashboards
  • Assign audit tasks and chart chase follow-ups

Unlocking these data insights helps you and your providers deliver value, bring plan performance into greater focus throughout the year, and increase reimbursement potential—ultimately strengthening your plan’s reputation and financial viability.

To learn more, download our e-book, Improve HEDIS Reporting with Analytics, or visit our Quality Management solution page.

*MedeAnalytics client survey. Results may vary. HEDIS is a registered trademark of the National Committee for Quality Assurance (NCQA).

Posted in

MedeAnalytics

MedeAnalytics is a leader in healthcare analytics, providing innovative solutions that enable measurable impact for healthcare payers and providers. With the most advanced data orchestration in healthcare, payers and providers count on us to deliver actionable insights that improve financial, operational, and clinical outcomes. To date, we’ve helped uncover millions of dollars in savings annually.

Leave a Comment





Get our take on industry trends

Why managed Medicaid/Medicare health plans need analytics to improve outcomes

Why managed Medicaid/Medicare health plans need analytics to improve outcomes

September 21, 2021

Managed care organizations that provide healthcare services to Medicare/Medicaid members are dedicated to improving the health and wellness of these underserved populations, especially those living in rural areas.   

Read on...

Using consumer analytics to steer health-related decisions

September 7, 2021

Companies tap into what people like to eat and drink, how we purchase consumables, where we like to shop, what shows we might like to stream, whether we vote, and so on. If you have ever created a profile on a streaming application (think Netflix or Amazon), you will receive recommended books, movies and other items just as soon as you start surfing.

Read on...
Data Science into your Organization

Run: Bringing Data Science into your Organization

August 30, 2021

In this three-part series, we’ve been detailing a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl and Part Two: Walk, we discussed how to get started from scratch and start building out a dedicated data science program. Today, we’ll dive into the third and final phase to see how to grow quality, centralize governance, incorporate user feedback, and more.

Read on...
Data Science into your Organization part 2

Walk: Bringing Data Science into your Organization

August 23, 2021

In this three-part series, we’re exploring a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl, we discussed how to get started from scratch. Today in Part Two: Walk, we’ll address issues that may emerge and how to overcome them, how to build out a dedicated data science team, and more.

Read on...